Text Analytics and Natural Language Processing (NLP) with R

What you'll learn

Students will be able to extract big text data from different sources for analysis

Text Pre-processing and understanding different types of text data

Using most common R packages for text analytics

Students will be able to create customized word cloud

Perform corpus analysis

Perform text summarization techniques

Perform part of speech tagging

Carry out Emotion and sennt analysis

Understand and use language models

Perform web scraping for text data (customer reviews from web sites)

Natural language processing for linguists

Natural Language processing for computational linguists

Analyse multilingual text data

Future trends in NLP and CL

Requirements

Should have basic experience of R and RStudio

Basic knowledge of HTML

Should have interest in text analytics and natural language processing

Should be aware of deriving insights from big text data

Should have a basic knowledge of programming skills

Should be interested in learning new languages for analytics

Should be interested in computational linguistics

Description

The course will drive you through all the techniques you need to process structured and unstructured text data and corpora. It will also teach you how to deal with multi-lingual text.

Who this course is for:

This course is for the general public who are keen to discover the world of big text data

This course is also designed for translators, journalists, linguists and multi-linguists

This course is also for historians, humanities and digital humanities students

All those who are interested in designing and generating natural language processing



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